Housing price gradients in a geography with one dominating center
AbstractWe primarily focus on explaining housing prices and predicting housing price gradients in a Norwegian region with one dominating center (Stavanger). For such a geography spatial separation can be represented in a hedonic regression equation by a function of traveling distance from the city center. Several functions are tested, and some alternatives provide both a satisfying goodness-to-fit, consistent coefficient estimates, and intuitively reasonable predictions of housing price gradients. Still, not all commonly used functions are recommended. Spatial autocorrelation is removed when the hedonic function is properly specified.
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Bibliographic InfoPaper provided by University of Bergen, Department of Economics in its series Working Papers in Economics with number 06/05.
Length: 29 pages
Date of creation: 17 Mar 2005
Date of revision:
Contact details of provider:
Postal: Institutt for økonomi, Universitetet i Bergen, Postboks 7802, 5020 Bergen, Norway
Web page: http://www.uib.no/econ/en
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hedonic regression model; housing attributes; functional representation of spatial separation; spatial autocorrelation; housing price gradient; capitalization;
Find related papers by JEL classification:
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
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- Liv Osland & Inge Thorsen, 2006. "Testing for the Impact of Local Labour Market Characteristics on House Prices," ERSA conference papers ersa06p490, European Regional Science Association.
- Liv Osland & Inge Thorsen, 2006. "Evaluating Housing Price Predictability of Alternative Hedonic Model Formulations," ERSA conference papers ersa06p492, European Regional Science Association.
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